Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection

Author:

Vatolkin Igor,Rudolph Günter,Weihs Claus

Publisher

Springer International Publishing

Reference26 articles.

1. Anglade, A., Benetos, E., Mauch, M., Dixon, S.: Improving music genre classification using automatically induced harmony rules. J. New Music Res. 39(4), 349–361 (2010)

2. Arabi A.F., Lu, G.: Enhanced polyphonic music genre classification using high level features. In: Proceedings of the IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 101–106 (2009)

3. Van Balen, J., Bountouridis, D., Wiering, F., Veltkamp, R.: Cognition-inspired descriptors for scalable cover song retrieval. In: Proceedings of 15th International Society for Music Information Retrieval Conference, pp. 379–384 (2014)

4. Berenzweig, A., Ellis, D.P.W., Lawrence, S.: Anchor space for classification and similarity measurement of music. In: Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 29–32 (2003)

5. Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur. J. Sci. Res. 181(3), 1653–1669 (2007)

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